University of Michigan (developed early techniques)

The University of Michigan was instrumental in developing early machine learning techniques, notably decision tree algorithms like ID3 in the 1980s. These methods involve creating models that can classify data by splitting it into smaller parts based on certain features, helping computers make decisions or predictions. By pioneering these foundational algorithms, Michigan contributed to the growth of artificial intelligence, enabling computers to better analyze complex data sets, recognize patterns, and improve decision-making processes across various fields such as medicine, finance, and technology.